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Problem-Solving Processes in Humans and Computers: Theory and Research in Psychology and Artificial Intelligence

Autor Morton Wagman
en Limba Engleză Hardback – 30 dec 2001
Wagman gives a broad, structured, and detailed account of advancing intellectual developments in both psychological and computational theories of the nature of problem- solving. Known for originating the PLATO computer-based Dilemma Counseling System, psychologist Wagman is the author of 17 books, including Scientific Discovery Processes in Humans and Computers (Praeger, 2000).

In this book, Professor Emeritus Morton Wagman gives a broad, structured, and detailed account of advancing intellectual developments in both psychological and computational theories of the nature of problem solving. Known for originating the PLATO computer-based Dilemma Counseling System, psychologist Wagman is the author of 17 books, including Scientific Discovery Processes in Humans and Computers, (Praeger, 2000)

Of special interest to readers will be Wagman's conclusion that artificial intelligence problem-solving systems are deepening and broadening theories of human problem solving from scientific to everyday approaches. Scholars and professionals in psychology, artificial intelligence, and cognitive science will consider this a volume a valuable addition to their collections.
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Specificații

ISBN-13: 9780275970871
ISBN-10: 0275970876
Pagini: 256
Dimensiuni: 156 x 235 x 24 mm
Greutate: 0.51 kg
Ediția:New.
Editura: Bloomsbury Publishing
Colecția Praeger
Locul publicării:New York, United States

Cuprins

Preface
The General Nature of Problem Solving
Human Problem Solving and Problem Solving Systems
Representation in Human and Computer Scientific Discovery
Intuitive Everyday Problem Solving
Insightful Problem Solving
Problem Solving Intuition in the Context of Discovery
Problem Solving and Rediscovery in Molecular Genetics
Problem Solving in the Rediscovery of Cantorian and Godelian Mathematics
Artificial Intelligence Discovery Systems
Artificial Intelligence Discovery in Chemistry
Artificial Intelligence Discovery in Particle Physics
General Conclusions
The Generality of Scientific Model Building
Conclusions
Appendix
Bibliography
Author Index
Subject Index